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code with ICRA'21 paper - (MSTC*: Multi-robot Coverage Path Planning under physical constraints)

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MSTC-Star

code with ICRA'21 paper - MSTC*: Multi-robot Coverage Path Planning under Physical Constraints. [paper], [video].

Description

  • Terrain filtering: implementations of terrain-slope based map filtering, terrain segmentation network, as well as map fusing and graph generating.

    pre-trained model of terrain segmentation network can be downloaded in [here]

  • Multi-robot coverage path planning (mCPP): implementations of Naive-MSTC, Balanced-MSTC*, MFC, MSTC(w/ and w/o backtracking)*, see files in ./mcpp for details.

Requirments

  • python 3.6 +
  • matplotlib
  • numpy
  • scipy
  • skimage
  • pytorch (tested on 1.7.0)
  • opencv-python (tested on v.4.4.0.46)
  • rasterio (tested on v.1.1.8)
  • networkx (tested on v.2.5)

Demos

  • terrain filtering Terrain Seg Result

  • mCPP on artificial terrain Terrain Seg Result

  • mCPP on real terrain Terrain Seg Result

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code with ICRA'21 paper - (MSTC*: Multi-robot Coverage Path Planning under physical constraints)

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